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AWS CloudFormation Deletion Policy

2023-06-03T04:57:38+00:00

Deleting a stack on CloudFormation also removes all the provisioned resources in it. In some cases, you want some resources to be retained even after deleting its stack. The good thing is that you can do this by defining its DeletionPolicy.  This is pretty straightforward - you just need to define DeletionPolicy with Retain value and for the resources that support snapshot, (like RDS databases) you can set Snapshot as its value. With DeletionPolicy: Snapshot, a snapshot is created before a resource is deleted. This allows you to have a backup of the resource that's been deleted from the stack.  [...]

AWS CloudFormation Deletion Policy2023-06-03T04:57:38+00:00

AWS CloudFormation StackSets and Nested Stacks

2023-06-03T04:59:37+00:00

AWS CloudFormation lets you model and provision resources for your environment using programming language, leveraging the concept of Infrastructure as Code (IaC). You don’t need to manually create all of your resources one by one, CloudFormation will do this for you. All resources are defined on the AWS CloudFormation template. This means that this AWS environment can be reliably and easily reproduced since everything is declared on a template. For example, creating a new Test environment similar to your current setup, or when creating a Disaster Recovery environment in another region.  With AWS CloudFormation, you can either upload your own [...]

AWS CloudFormation StackSets and Nested Stacks2023-06-03T04:59:37+00:00

Amazon Neptune

2024-11-14T09:16:22+00:00

Bookmarks How it Works Common Use Cases Performance Reliability Backup And Restore Security Pricing Monitoring Limitations Amazon Neptune Cheat Sheet Amazon Neptune is a fully managed graph database service used for building applications that work with highly connected datasets. Optimized for storing billions of relationships between pieces of information. Provide milliseconds latency when querying the graph. Neptune supports graph query languages like Apache TinkerPop Gremlin and W3C's SPARQL. How it works Common Use Cases Social Networking Amazon Neptune can easily process user’s interactions like comments, follows, and likes [...]

Amazon Neptune2024-11-14T09:16:22+00:00

Amazon S3 Access Points

2023-06-03T05:09:17+00:00

Managing access to your S3 buckets should be pretty easy using Amazon S3’s bucket policy. But as the number of your users and data grows, this easily becomes a complicated task. Provisioning access policies (who and where to access these objects) to these users could be a messy thing to do. AWS added this feature called Access Points on S3 to resolve this current problem. Access Points can simplify things in terms of provisioning access to different users. With this feature, each user can have a dedicated access point on a bucket and each of these access points has its [...]

Amazon S3 Access Points2023-06-03T05:09:17+00:00

Amazon S3 Event Notifications

2023-02-22T14:35:34+00:00

With Amazon S3 being virtually unlimited in size, it's quite a challenge to keep everything monitored, especially when you are dealing with a large number of objects that scales up from time to time. With Amazon S3 Event Notifications, you’ll be able to immediately know when an object in your bucket was created, removed, or restored. This feature lets you get notifications whenever an event happens on your S3 bucket. These notifications can then be forwarded to an Amazon Simple Notification Service (Amazon SNS) topic, Amazon Simple Queue Service (Amazon SQS) queue, and AWS Lambda function. The S3 Event Notification [...]

Amazon S3 Event Notifications2023-02-22T14:35:34+00:00

Configuring Notifications for Amazon EC2 Auto Scaling Lifecycle Hooks

2023-06-03T05:15:48+00:00

Auto Scaling Lifecycle Hooks In the previous post, we talked about Auto Scaling Lifecycle Hooks and how to configure it on your Auto Scaling group. You can view the article here. It’s better to read it first before proceeding with this section. In a nutshell, Auto Scaling Lifecycle Hooks allow you to put an instance in the “wait” state while the Auto Scaling group responds to a scale-out or scale-in event. While the instance is in the “wait” state, you perform actions such as installing the application before allowing traffic to the instance or sending out the application logs to [...]

Configuring Notifications for Amazon EC2 Auto Scaling Lifecycle Hooks2023-06-03T05:15:48+00:00

AWS Secrets Manager vs Systems Manager Parameter Store

2024-11-14T00:51:27+00:00

Bookmarks AWS Systems Manager Parameter Store AWS Secrets Manager Similarities and Differences Managing the security of your applications is an integral part of any organization especially for infrastructures deployed in the cloud. One aspect of application security is how the parameters such as environment variables, database passwords, API keys, product keys, etc. are stored and retrieved. As a best practice, secret information should not be stored in plain text and not be embedded inside your source code. It is also recommended to set up an automated system to rotate passwords or keys regularly (which [...]

AWS Secrets Manager vs Systems Manager Parameter Store2024-11-14T00:51:27+00:00

Global Secondary Index vs Local Secondary Index

2024-01-24T09:25:20+00:00

Bookmarks Global Secondary Index Local Secondary Index A secondary index is a data structure that contains a subset of attributes from a table, along with an alternate key to support Query operations. An Amazon DynamoDB table can have multiple secondary indexes.   Global secondary index Local secondary index Definition An index with a partition key and a sort key that can be different from those on the base table. An index that has the same partition key as the base table, but a different sort key.  Span of query Queries on the index can span [...]

Global Secondary Index vs Local Secondary Index2024-01-24T09:25:20+00:00

Step Scaling vs Simple Scaling Policies vs Target Tracking Policies in Amazon EC2

2023-06-23T05:27:39+00:00

Bookmarks Simple Scaling  Target Tracking Step Scaling  Creating a Step Scaling Policy for an Auto Scaling Group Amazon’s EC2 Auto Scaling provides an effective way to ensure that your infrastructure is able to dynamically respond to changing user demands. For example, to accommodate a sudden traffic increase on your web application, you can set your Auto Scaling group to automatically add more instances. And when traffic is low, have it automatically reduce the number of instances. This is a cost-effective solution since it only provisions EC2 instances when you need them. EC2 Auto [...]

Step Scaling vs Simple Scaling Policies vs Target Tracking Policies in Amazon EC22023-06-23T05:27:39+00:00

Amazon EC2 Auto Scaling Lifecycle Hooks

2023-06-05T02:08:11+00:00

Bookmarks Auto Scaling Lifecycle Hooks Configure Lifecycle Hooks on your Auto Scaling Groups Amazon EC2 Auto Scaling allows you to scale-out or scale-in your EC2 instances automatically based on policies you configured in response to changing demand on your application. Auto Scaling Groups lets you set a minimum and maximum number of EC2 instances to automatically resize your cluster based on a defined schedule or instance metrics such as CPU utilization, network traffic, etc. This is an excellent way to cut costs and make sure you have the correct number of instances since traffic on [...]

Amazon EC2 Auto Scaling Lifecycle Hooks2023-06-05T02:08:11+00:00

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